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The thermal characteristics of a battery are vital in order to understand its health and safety. The thermal characteristics are influenced by charging techniques. This paper presents theoretical explanation, experimental validation, and an analytical method to quantify the heat loss influenced by charging techniques for a Li-Ion battery. Constant current constant voltage (CC-CV), sinusoidal ripple current constant voltage, and pulse current constant voltage charging profiles are used as test cases for validation. The electrical and entropic heat generation for different charging profiles are modeled and estimated based on battery equivalent parameters. The estimated heat generation is compared with the heat flux measurement from a differential scanning calorimeter. In addition to the heat flux measurement, temperature, state of charge, terminal voltage, and current were recorded and analyzed.
S M Rakiul Islam; Sung-Yeul Park. Quantification of Heat Loss for Different Charging Profiles in a Li-Ion Battery. IEEE Transactions on Energy Conversion 2020, 36, 1831 -1840.
AMA StyleS M Rakiul Islam, Sung-Yeul Park. Quantification of Heat Loss for Different Charging Profiles in a Li-Ion Battery. IEEE Transactions on Energy Conversion. 2020; 36 (3):1831-1840.
Chicago/Turabian StyleS M Rakiul Islam; Sung-Yeul Park. 2020. "Quantification of Heat Loss for Different Charging Profiles in a Li-Ion Battery." IEEE Transactions on Energy Conversion 36, no. 3: 1831-1840.
This paper presents a time-efficient modeling and simulation strategy for aggregated microinverters in large-scale photovoltaic systems. As photovoltaic microinverter systems are typically comprised of multiple power electronic converters, a suitable modeling and simulation strategy that can be used for rapid prototyping is required. Dynamic models incorporating switching action may induce significant computational burdens and long simulation durations. This paper introduces a single-matrix-form approach using the average model of a basic microinverter with two power stages consisting of a dc-dc and dc-ac converter. The proposed methodology using a common or intermediate source between two average models of cascaded converters to find the overall average model is introduced and is applicable to many other converter topologies and combinations. It provides better flexibility and simplicity when investigating various power topologies in system-level studies of microinverter and other power electronic systems. A 200 W prototype microinverter is tested to verify the proposed average and dynamic models. Furthermore, MATLAB/Simulink (2010a, Mathworks, Natick, MA, USA) is used to show the improved simulation speed and maintained accuracy of the multiple microinverter configurations when the derived average model is compared to a dynamic switching simulation model.
Sungmin Park; Weiqiang Chen; Ali M. Bazzi; Sung-Yeul Park. A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters. Energies 2017, 10, 465 .
AMA StyleSungmin Park, Weiqiang Chen, Ali M. Bazzi, Sung-Yeul Park. A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters. Energies. 2017; 10 (4):465.
Chicago/Turabian StyleSungmin Park; Weiqiang Chen; Ali M. Bazzi; Sung-Yeul Park. 2017. "A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters." Energies 10, no. 4: 465.
In order to determine the most cost effective alternative among hardening options of power systems, the direct monetary benefits should be evaluated above all other things. Therefore, this paper presents a life-cycle cost model which describes total monetary costs experienced in annual time increments during the project with consideration for the time value of money. In addition, to minimize the risks associated with estimated cost errors due to uncertainties of input data, the stochastic input data are considered. Using the Monte Carlo method, the probabilities and cost ranges in the case studies can be predicted, in turn resulting in better decisions in the selection of hardening options which are cost effective.
Sungmin Park; Sung-Yeul Park; Peng Zhang; Peter Luh; Michel T. J. Rakotomavo; Camilo Serna. Comparative Life Cycle Cost Analysis of Hardening Options for Critical Loads. Energies 2016, 9, 553 .
AMA StyleSungmin Park, Sung-Yeul Park, Peng Zhang, Peter Luh, Michel T. J. Rakotomavo, Camilo Serna. Comparative Life Cycle Cost Analysis of Hardening Options for Critical Loads. Energies. 2016; 9 (7):553.
Chicago/Turabian StyleSungmin Park; Sung-Yeul Park; Peng Zhang; Peter Luh; Michel T. J. Rakotomavo; Camilo Serna. 2016. "Comparative Life Cycle Cost Analysis of Hardening Options for Critical Loads." Energies 9, no. 7: 553.